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https://github.com/ROCm/composable_kernel.git
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d73a2287f3
* refactor reduce kernel
- Rename Reduce kernel as per convention
- Move kept_dim and reduce_dims from runtime to compile-time parameters
- Update Reduce2dProblem template to include KeptDim, ReduceDims, and
Rank
- Remove IsSupportedArgument validation function as it's unnecessary.
Not using the GuaranteedLastDimensionVectorStride while making tensor
view or descriptor which removes the bounds enforced earlier. We still
calculate and use vector size.
- Update reduce example to demonstrate NCHW->NHW reduction with
non-contiguous support
- Update tests
Kernel now handles both contiguous and non-contiguous memory layout.
* fix compile errors
[ROCm/composable_kernel commit: ea10a78203]
37 lines
1.2 KiB
C++
37 lines
1.2 KiB
C++
// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include "ck_tile/core.hpp"
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namespace ck_tile {
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template <typename XDataType_,
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typename ComputeDataType_,
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typename YDataType_,
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typename BlockShape_,
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typename ReduceOp_,
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typename KeptDim_,
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typename ReduceDims_,
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index_t Rank_,
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bool OutputIndex_ = false>
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struct Reduce2dProblem
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{
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using XDataType = remove_cvref_t<XDataType_>;
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using ComputeDataType = remove_cvref_t<ComputeDataType_>;
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using YDataType = remove_cvref_t<YDataType_>;
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using BlockShape = remove_cvref_t<BlockShape_>;
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using ReduceOp = ReduceOp_;
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using KeptDim = remove_cvref_t<KeptDim_>;
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using ReduceDims = remove_cvref_t<ReduceDims_>;
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static constexpr index_t Rank = Rank_;
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static constexpr index_t NumReduceDim = ReduceDims::size();
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static constexpr bool kOutputIndex = OutputIndex_;
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static constexpr bool kNeedCrossLaneSync = BlockShape::ThreadPerWarp_N > 1;
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static constexpr bool kNeedCrossWarpSync = BlockShape::WarpPerBlock_N > 1;
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};
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} // namespace ck_tile
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